Publications by authors named "Yuanqiong Chen"
Article Synopsis
- * The authors propose a new, efficient method using MobileNetv3 for feature extraction and combining boundary branches with adversarial learning for better segmentation results.
- * The method shows high performance with Dice coefficients reaching up to 0.974 for OD and 0.900 for OC across three public datasets, while also reducing computational complexity and inference time.
Article Synopsis
- - This study focuses on improving the breeding techniques and hatching rates of the Andrias davidianus by analyzing its parental care behaviors, which are hard to observe directly due to the species' nocturnal and cave-dwelling nature.
- - To tackle these observation challenges, researchers developed a dataset and used the YOLOv8s algorithm to create a detection model that enhances feature extraction and reduces environmental interference.
- - The model showed a significant improvement with an 85.7% detection accuracy, outperforming the previous YOLOv8s model, and offers insights for recognizing behaviors in amphibians, contributing to improved breeding strategies.
Clinical Interpretable Deep Learning Model for Glaucoma Diagnosis.
IEEE J Biomed Health Inform
May 2020
Despite the potential to revolutionise disease diagnosis by performing data-driven classification, clinical interpretability of ConvNet remains challenging. In this paper, a novel clinical interpretable ConvNet architecture is proposed not only for accurate glaucoma diagnosis but also for the more transparent interpretation by highlighting the distinct regions recognised by the network. To the best of our knowledge, this is the first work of providing the interpretable diagnosis of glaucoma with the popular deep learning model.
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